Tree Level Fit results: Winter 2016

It is possible to generalize the full UTfit beyond the Standard Model to all those NP models characterized by Minimal Flavour Violation, i.e. having quark mixing ruled only by the Standard Model CKM couplings ( http://arxiv.org/abs/hep-ph/0007085). In fact, in this case no additional weak phases are generated and several observables entering into the Standard Model fit (the tree-level processes and the measurement of angles through the use of time dependent CP asymmetries) are not affected by the presence of New Physics. The only sizable effect we are sensitive to is a shift of the Inami-Lim function of the top contribution in meson mixing. This means that in general εK and Δmd cannot be used in a common SM and MFV framework. Also the ratio Δmd/Δms cannot be used in general, as Δms can get additional NP contributions at large tanβ. So, simply removing the information related to εK, Δmd and Δms from the full UTfit, one can obtain a more precise determination of the Universal Unitarity Triangle, which is a common starting point for the Standard Model and any MFV model.

Parameter Input value Prediction
\bar{\rho} - 0.141 \pm 0.023
\bar{\eta} - 0.339 \pm 0.015
\rho - 0.145 \pm 0.023
\eta - 0.346 \pm 0.014
A - 0.810 \pm 0.021
\lambda 0.22518 \pm 0.00087 0.22507 \pm 0.00064
\alpha, [^{\circ}] 92.5 \pm 5.5 \text{ and } 166.1 \pm 0.6 88.1 \pm 3.4
\beta, [^{\circ}] - 24.2 \pm 1.6
\sin(2\beta) 0.679 \pm 0.023 0.746 \pm 0.039
\gamma, [^{\circ}] -108.5 \pm 6.5 \text{ and } 71.4 \pm 6.5 66.9 \pm 3.0

CKM matrix thus looks like V_{CKM}=\left(\begin{array}{ccc} (0.97431 \pm 0.00013) & (0.22508 \pm 0.00066) & (0.00364 \pm 0.00012)e^{i(-67.5 \pm 3.5)^\circ}\\ ( -0.22491 \pm 0.00066)e^{i(0.0328 \pm 0.0021)^\circ} & (0.97347 \pm 0.00014)e^{i(-0.00175 \pm 0.00011)^\circ} & (0.04237 \pm 0.00062) \\ (0.00853 \pm 0.00031)e^{i(-21.50 \pm 0.83)^\circ} & ( -0.0403 \pm 0.0010)e^{i(1.026 \pm 0.043)^\circ} & (0.999143 \pm 0.000045)\end{array}\right)




Full fit result for \,\bar{\rho}
0.141 \pm 0.023
95% prob:[0.095, 0.190]
99% prob:[0.075, 0.219]
EPS - PDF - PNG - JPG - GIF




Full fit result for \,\bar{\eta}
0.339 \pm 0.015
95% prob:[0.309, 0.369]
99% prob:[0.293, 0.381]
EPS - PDF - PNG - JPG - GIF



Full fit result for \,\bar{\rho} - \bar{\eta}



EPS - PDF - PNG - JPG - GIF




Full fit result for \,\rho
0.145 \pm 0.023
95% prob:[0.097, 0.195]
99% prob:[0.077, 0.224]
EPS - PDF - PNG - JPG - GIF



Full fit result for \,\eta
0.346 \pm 0.014
95% prob:[0.318, 0.377]
99% prob:[0.305, 0.394]
EPS - PDF - PNG - JPG - GIF




Full fit result for \,ASorted ascending
0.810 \pm 0.021
95% prob:[0.767, 0.854]
99% prob:[0.746, 0.876]
EPS - PDF - PNG - JPG - GIF




Fit Input for \,\lambda
0.22518 \pm 0.00087
95% prob:[0.22356, 0.22712]
99% prob:[0.22257, 0.22801]
EPS - PDF - PNG - JPG - GIF



Prediction for \,\lambda
0.22507 \pm 0.00064
95% prob:[0.22386, 0.22633]
99% prob:[0.22326, 0.22703]
EPS - PDF - PNG - JPG - GIF




Fit Input for \,\alpha, [^{\circ}]
92.5 \pm 5.5 \text{ and } 166.1 \pm 0.6
95% prob:[83.60, 102.60] U [162.30, 169.70]
99% prob:[80.00, 108.80] U [159.19, 171.60]
EPS - PDF - PNG - JPG - GIF



Prediction for \,\alpha, [^{\circ}]
88.1 \pm 3.4
95% prob:[81.5, 95.2]
99% prob:[78.2, 98.7]
EPS - PDF - PNG - JPG - GIF




Full fit result for \,\beta, [^{\circ}]
24.2 \pm 1.6
95% prob:[20.9, 27.6]
99% prob:[19.4, 29.3]
EPS - PDF - PNG - JPG - GIF




Fit Input for \,\sin(2\beta)
0.679 \pm 0.023
95% prob:[0.635, 0.729]
99% prob:[0.613, 0.755]
EPS - PDF - PNG - JPG - GIF



Prediction for \,\sin(2\beta)
0.746 \pm 0.039
95% prob:[0.669, 0.822]
99% prob:[0.630, 0.858]
EPS - PDF - PNG - JPG - GIF




Fit Input for \,\gamma, [^{\circ}]
-108.5 \pm 6.5 \text{ and } 71.4 \pm 6.5
95% prob:[-122.0, -95.9] U [57.7, 84.0]
99% prob:[-129.3, -89.4] U [50.7, 90.7]
EPS - PDF - PNG - JPG - GIF



Prediction for \,\gamma, [^{\circ}]
66.9 \pm 3.0
95% prob:[61.0, 73.0]
99% prob:[58.0, 75.9]
EPS - PDF - PNG - JPG - GIF

 
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